A spectrum of physics-informed Gaussian processes for regression in engineering
Elizabeth J. Cross, Timothy James Rogers, Daniel James Pitchforth, Samuel J. Gibson, Sikai Zhang, Matthew R. Jones
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.1017/dce.2024.2 ↗
- Volume · Issue · Pages
- 5 · — · —
- Publisher
- Cambridge University Press
- Article URL
- https://doi.org/10.1017/dce.2024.2 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
01 Jan 2024
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 01 Jan 2024 | OpenAlex |
Keywords (as given): physics-informed Gaussian processes; Gaussian process regression; structural assessment; interpretability; expert knowledge integration
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
X
Based on the recorded HEC dataset applicable to the article's publication date. Listed as X in the HEC list for 2023–24.
- Journal
- Data-Centric Engineering
- Publication date used
- 01 Jan 2024 (OpenAlex publication date)
- Applicable HEC period
- 2023–24 (version 1) · 01 Jul 2023 – 30 Sep 2024
- Category
- X
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- HJRS 2023-24 page 2084, row 14736
- Verification status
- Verified against source · last verified 23 Sep 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.